Head of Data

Linktree•Los Angeles, CA

1d•$320,000 - $340,000•Remote

About The Position

The Role We are seeking a dynamic, hands-on Head of Data who will lead our data organization from vision and through delivery and operations. This person works closely with Product, Engineering, Design, the Leadership Team, and other stakeholders, and will both set strategy and roll up their sleeves when needed to drive a fast moving, dynamic product and growing Data organisation in the AI era. What you'll Do Technical Leadership & Strategy Define and drive the company-wide data strategy end-to-end, from how raw data is collected until it’s used in user-facing AI features or for internal decision making. Ensure teams at Linktree have the capabilities to make sound data-driven decisions and build the platforms and frameworks to hold teams accountable to high standards in decision making. Advance Linktree’s transformation into an insights- and AI-powered product with a clear, differentiated value proposition for our users. Make critical architecture and systems design decisions, ensure that systems are scalable, maintainable, secure, and performant. Stay current with technology trends/innovations and evaluate/adopt where beneficial, particularly in rapidly evolving areas like modern AI. Hands-On Execution Contribute to major technical components, critical feature-launches, etc. and occasionally contribute to code or insights deep dives. Being involved in solution design for high-complexity or high-risk data or AI investments to maintain technical quality and help unblock teams. Lead or participate in technical deep-dives, especially for cross-team initiatives or for when the design has broad implications. Cross-Functional Collaboration Collaborate with Engineering, Product, and Design to deeply integrate the right data capabilities into teams, ensuring data and AI are core to how we build. Ensure our data & AI platforms empower the user-facing teams to build valuable product functionality at a high velocity while maintaining effectiveness and correctness. Represent Data to the executive team, surface key insights, communicate technical tradeoffs, risks, and timelines in terms non-tech stakeholders understand. Collaborate on budget, resource allocation, technology investment decisions. Evangelize data science and AI practices both internally and externally through thought leadership like conference speaking. Team Building, Mentorship & Management Build, grow, and mentor senior leaders, both as managers and ICs. Ensure strong leadership across your team. Recruit and retain top data talent, help define hiring strategy, interviewing, and onboarding. Ensure our teams leverage data to its full potential to make sound data-driven decisions and foster a culture of learning, decision quality, ownership, psychological safety, and accountability. Lead adoption of AI-driven tools to drive productivity and ensure we’re on the forefront of modern engineering and product building workflows. Process, Governance & Scaling Establish best practices across the entire data lifecycle (instrumentation, data engineering, insights, experimentation, ML and AI validation) and the frameworks to hold teams accountable to these practices. Maintain effectiveness and reliability of AI and user-facing insights solutions by establishing monitoring, alerting and remediation processes. Continuously partner with Product and Engineering to evaluate and evolve the cross-functional product org structure to match the company’s growth, ensuring clarity of ownership, effective collaboration, and decision-making velocity. What Success Looks Like Linktree has a unique value proposition in the market due to data and AI-driven capabilities. Decision making throughout the organization is based on sound insights. Team attrition is healthy, team members are growing in their roles and the management pipeline is strong. Stakeholders (Product, Customers, Execs) trust data and insights. The data function is a key partner in business decision making, not just a delivery engine. You’ll work directly with the CEO, who is product-led and values data as a thought partner, not just a delivery function.

Requirements

12+ years in data-related fields, such as data science, data engineering, ML engineering with at least 5+ years leading managers or directors in growing, fast-paced environments.
Track record of designing and launching large scale user-facing data or AI driven product capabilities with measurable impact.
Track record of transforming organisational culture to become data driven, including self-service insights and experimentation.
Deep technical expertise in data science, ML, AI as well as relevant engineering aspects such as data and AI platforms.
Proven track record of direct contributions at technical level, even as leader.
Excellent leadership, mentoring, and people-management skills; ability to recruit and retain strong talent.
Strong collaboration, communication, ability to simplify & explain technical issues to executives and cross-functional teams.

Nice To Haves

Experience scaling teams across multiple geographies
Prior experience in Saas / Consumer tech

Responsibilities

Define and drive the company-wide data strategy end-to-end, from how raw data is collected until it’s used in user-facing AI features or for internal decision making.
Ensure teams at Linktree have the capabilities to make sound data-driven decisions and build the platforms and frameworks to hold teams accountable to high standards in decision making.
Advance Linktree’s transformation into an insights- and AI-powered product with a clear, differentiated value proposition for our users.
Make critical architecture and systems design decisions, ensure that systems are scalable, maintainable, secure, and performant.
Stay current with technology trends/innovations and evaluate/adopt where beneficial, particularly in rapidly evolving areas like modern AI.
Contribute to major technical components, critical feature-launches, etc. and occasionally contribute to code or insights deep dives.
Being involved in solution design for high-complexity or high-risk data or AI investments to maintain technical quality and help unblock teams.
Lead or participate in technical deep-dives, especially for cross-team initiatives or for when the design has broad implications.
Collaborate with Engineering, Product, and Design to deeply integrate the right data capabilities into teams, ensuring data and AI are core to how we build.
Ensure our data & AI platforms empower the user-facing teams to build valuable product functionality at a high velocity while maintaining effectiveness and correctness.
Represent Data to the executive team, surface key insights, communicate technical tradeoffs, risks, and timelines in terms non-tech stakeholders understand.
Collaborate on budget, resource allocation, technology investment decisions.
Evangelize data science and AI practices both internally and externally through thought leadership like conference speaking.
Build, grow, and mentor senior leaders, both as managers and ICs. Ensure strong leadership across your team.
Recruit and retain top data talent, help define hiring strategy, interviewing, and onboarding.
Ensure our teams leverage data to its full potential to make sound data-driven decisions and foster a culture of learning, decision quality, ownership, psychological safety, and accountability.
Lead adoption of AI-driven tools to drive productivity and ensure we’re on the forefront of modern engineering and product building workflows.
Establish best practices across the entire data lifecycle (instrumentation, data engineering, insights, experimentation, ML and AI validation) and the frameworks to hold teams accountable to these practices.
Maintain effectiveness and reliability of AI and user-facing insights solutions by establishing monitoring, alerting and remediation processes.
Continuously partner with Product and Engineering to evaluate and evolve the cross-functional product org structure to match the company’s growth, ensuring clarity of ownership, effective collaboration, and decision-making velocity.

Benefits

An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!
100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.
Employer contribution towards your retirement.
Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
Employee stock option program - we want each and every employee to share in the company’s success.

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